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I am trying to set up a probability weighting task to find the certainty equivalent range for a number of values. The procedure entails asking the participant whether they prefer to take the bet or the secure amount across a range of values, with the specific values changing adaptively based on the participant's responses.
The issues is that I am struggling to access the data generated in the previous timeline.
Below is my code, I basically would like to retrieve the same two values that I am accessing inside the loop_node section after that trial has ended in order to set up for the next rounds (the loops is there to prevent participants from making illogical selections).
I don't understand why I cannot index them and I keep getting undefined error (despite being able to retrieve them when inside the loop_node section). Is it because they are part of a loop_function?
I attach a screenshot of the console output when displaying the data.
<!DOCTYPE html>
<html>
<head>
<title>My experiment</title>
<script src="https://unpkg.com/[email protected]"></script>
<script src="https://unpkg.com/@jspsych/[email protected]"></script>
<script src="https://unpkg.com/@jspsych/[email protected]"></script>
<script src="https://unpkg.com/@jspsych/[email protected]"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.4.0/p5.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/jspsych.js"></script>
<link href="https://unpkg.com/[email protected]/css/jspsych.css" rel="stylesheet" type="text/css" />
</head>
<body></body>
<script>
/* initialize jsPsych */
var jsPsych = initJsPsych({
on_finish: function() {
jsPsych.data.displayData();
}
});
var timeline = [];
var preload = {
type: jsPsychPreload,
images: ['figs/p01.png', 'figs/p03.png', 'figs/p05.png', 'figs/p07.png', 'figs/p09.png', 'figs/p1.png']
};
timeline.push(preload);
let probabilities = [0.1, 0.3, 0.5, 0.7, 0.9];
let EV = [10, 50, 100, 500];
let V = [];
for (let i = 0; i < probabilities.length; i++) {
V.push(EV.map(ev => ev / probabilities[i]));
}
var df = [];
for (let i = 0; i < probabilities.length; i++) {
for (let j = 0; j < EV.length; j++) {
df.push({
probability: probabilities[i],
ev: EV[j],
v: V[i][j],
ce_range: [],
ce_value: 0
});
}
}
// Shuffle df (like df.sample(frac=1).reset_index(drop=True) in pandas)
df = jsPsych.randomization.shuffle(df);
var prob_figs = {
0.1: "01",
0.3: "03",
0.5: "05",
0.7: "07",
0.9: "09"
};
var welcome = {
type: jsPsychHtmlKeyboardResponse,
stimulus: "Welcome to the experiment. Press any key to begin."
};
timeline.push(welcome);
var instructions = {
type: jsPsychHtmlKeyboardResponse,
stimulus: `
<p>In this experiment, you will decide whether you want
to take a bet or a secure amount.</p>
<p>One the left you will see a pie chart representing the
probability of winning that sum. If you decide to <strong>bet</strong>,
press the letter F on the keyboard as fast as you can.</p>
<p>On the right a secure amount will be shown.
If you take the <strong>secure</strong> amount, press the letter J
as fast as you can.</p>
<div align='left'; style='position:absolute; top: 60%; left: 10%;'><img src='figs/p01.png' height="500px"></img></div>
<div align='left'; style='position:absolute; top: 130%; left: 25%;'><p class="ex1"><strong>Press the F key</strong></p></div>
<div align='left'; style='position:absolute; top: 60%; left: 53%;'><img src='figs/p1.png' height="500px"></img></div>
<div align='left'; style='position:absolute; top: 130%; left: 68%;'><p class='small'><strong>Press the J key</strong></p></div>
</div>
<p>Press any key to begin.</p>
`,
post_trial_gap: 2000
};
timeline.push(instructions);
function win_disp(t_bet, t_secure, t_p, callback) {
t_bet = t_bet.toFixed(2);
t_secure = t_secure.toFixed(2);
let p_fig = prob_figs[t_p]
var stim = [`
<div align='left'; style='position:absolute; top: 15%; left: 10%;'><img src='figs/p${p_fig}.png' height="500px"></img></div>
<div align='left'; style='position:absolute; top: 50%; left: 25%;'><p style="font-size: 30px"><strong>${t_bet}</strong></p></div>
<div align='left'; style='position:absolute; top: 15%; left: 53%;'><img src='figs/p1.png' height="500px"></img></div>
<div align='left'; style='position:absolute; top: 50%; left: 68%;'><p style="font-size: 30px"><strong>${t_secure}</strong></p></div>
`];
return stim;
}
let i = 0
let row = df[i];
let t_1 = row.v / 3;
let t_2 = 2 * row.v / 3;
let t_v = row.v
let t_p = row.probability
var first_round = {
type: jsPsychHtmlKeyboardResponse,
choices: ['f', 'j'],
timeline: [
{stimulus: win_disp(t_v, t_1, t_p),
data: {
task: 'resp_r1_t1',
}
},
{stimulus: win_disp(t_v, t_2, t_p),
data: {
task: 'resp_r1_t2'
}
}
]
};
var loop_node = {
timeline: [first_round],
loop_function: function(){
// get the data from the previous trial,
// and check which key was pressed
data_t1 = jsPsych.data.get().last(2).filter({task: 'resp_r1_t1'}).values()[0];
data_t2 = jsPsych.data.get().last(2).filter({task: 'resp_r1_t2'}).values()[0];
if((jsPsych.pluginAPI.compareKeys(data_t1.response, 'j')) & (jsPsych.pluginAPI.compareKeys(data_t2.response, 'f'))){
return true;
} else {
return false;
}
}
}
timeline.push(loop_node);
var lasttrialdata = jsPsych.data.getLastTrialData();
console.log(lasttrialdata);
var dar = {
type: jsPsychHtmlKeyboardResponse,
stimulus: `<p>${lasttrialdata}</p>`
};
timeline.push(dar);
jsPsych.run(timeline);
</script>
</html>
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Hello,
I am trying to set up a probability weighting task to find the certainty equivalent range for a number of values. The procedure entails asking the participant whether they prefer to take the bet or the secure amount across a range of values, with the specific values changing adaptively based on the participant's responses.
The issues is that I am struggling to access the data generated in the previous timeline.
Below is my code, I basically would like to retrieve the same two values that I am accessing inside the
loop_nodesection after that trial has ended in order to set up for the next rounds (the loops is there to prevent participants from making illogical selections).I don't understand why I cannot index them and I keep getting undefined error (despite being able to retrieve them when inside the
loop_nodesection). Is it because they are part of aloop_function?I attach a screenshot of the console output when displaying the data.
Thanks,
Federica
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